AI Engineer, specialized in the development of LLaMA-based RAG (Retrieval-Augmented Generation) applications, custom-built RAG LLMs (Large Language Models), and Graph RAG systems. Proficient in PyTorch and Python, with expertise in integrating functional calls (tool callings) for seamless interaction between components in RAG pipelines. Skilled in enhancing retrieval accuracy, building advanced NLP models, and designing efficient AI workflows to meet diverse client needs. Known for exceptional problem-solving and a commitment to innovation, consistently delivering state-of-the-art solutions that streamline operations and optimize decision-making processes.